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ultralytics 8.0.12 - Hydra removal (#506)

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Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: Pronoy Mandal <lukex9442@gmail.com>
Co-authored-by: Ayush Chaurasia <ayush.chaurarsia@gmail.com>
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Glenn Jocher 2023-01-21 00:45:19 +01:00 • committed by GitHub
parent 6eec39162a
commit c5fccc3fc4
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37 changed files with 395 additions and 469 deletions
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10
ultralytics/yolo/v8/segment/train.py
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@ -2,13 +2,12 @@
from copy import copy
import hydra
import torch
import torch.nn.functional as F
from ultralytics.nn.tasks import SegmentationModel
from ultralytics.yolo import v8
from ultralytics.yolo.utils import DEFAULT_CONFIG
from ultralytics.yolo.utils import DEFAULT_CFG
from ultralytics.yolo.utils.ops import crop_mask, xyxy2xywh
from ultralytics.yolo.utils.plotting import plot_images, plot_results
from ultralytics.yolo.utils.tal import make_anchors
@ -19,7 +18,7 @@ from ultralytics.yolo.v8.detect.train import Loss
# BaseTrainer python usage
class SegmentationTrainer(v8.detect.DetectionTrainer):
def __init__(self, config=DEFAULT_CONFIG, overrides=None):
def __init__(self, config=DEFAULT_CFG, overrides=None):
if overrides is None:
overrides = {}
overrides["task"] = "segment"
@ -141,8 +140,7 @@ class SegLoss(Loss):
return (crop_mask(loss, xyxy).mean(dim=(1, 2)) / area).mean()
@hydra.main(version_base=None, config_path=str(DEFAULT_CONFIG.parent), config_name=DEFAULT_CONFIG.name)
def train(cfg):
def train(cfg=DEFAULT_CFG):
cfg.model = cfg.model or "yolov8n-seg.pt"
cfg.data = cfg.data or "coco128-seg.yaml" # or yolo.ClassificationDataset("mnist")
cfg.device = cfg.device if cfg.device is not None else ''
@ -150,7 +148,7 @@ def train(cfg):
# trainer.train()
from ultralytics import YOLO
model = YOLO(cfg.model)
model.train(**cfg)
model.train(**vars(cfg))
if __name__ == "__main__":